The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Long-Term Temporal Analysis of the Human Fecal Microbiota Revealed a Stable Core of Dominant Bacterial Species
Open accessAbstract
Next-generation sequencing has greatly contributed to an improved ecological understanding of the human gut microbiota. Nevertheless, questions remain regarding the characteristics of this ecosystem and the ecological processes that shape it, and controversy has arisen regarding the stability of the bacterial populations and the existence of a temporal core. In this study, we have characterized the fecal microbial communities of three human individuals over a one-year period by 454 pyrosequencing of 16S rRNA tags in order to investigate the temporal characteristics of the bacterial communities. The findings revealed a temporal core of 33 to 40 species-level Operational Taxonomic Units (OTUs) within subjects. Although these OTUs accounted only for around 12% of the total OTUs detected, they added up to >75% of the total sequences obtained for each individual. In order to determine the capacity of the sequencing and bioinformatic approaches applied during this study to accurately determine the proportion of a core microbiota, we analyzed the fecal microbiota of nine mice with a defined three-member community. This experiment revealed that the sequencing approach inflated the amount of rare OTUs, which introduced a significant degree of artificial variation across samples, and hence reduced the apparent fraction of shared OTUs. However, when assessing the data quantitatively by focusing on dominant lineages, the sequencing approaches deliver an accurate representation of the community. In conclusion, this study revealed that the human fecal microbiota is dominated by around 40 species that maintain persistent populations over the duration of one year. The findings allow conclusions about the ecological factors that shape the community and support the concept of a homeostatic ecosystem controlled largely by deterministic processes. Our analysis of a three-member community revealed that methodological artifacts of OTU-based approaches complicate core calculations, and these limitations have to be considered in the interpretation of microbiome studies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
![Figure 1 Experimental design. 33 (two subjects) and 32 (one subject) samples were collected in a 56-week time period from human subjects that participated in two dietary trials testing the effect of resistant starches and GOS on the fecal microbiota [31], [32]. Fecal samples were collected weekly throughout both trials (17 in Trial 1 and 16 in trial 2), and the two trials were interspaced by a 24-week period without sampling.](/paper-figures/f1888a89c00745b8bdb735aa8b083df3/long-term-temporal-analysis-of-the-human-fecal-microbiota-revealed-a-stable-core-figure-1.jpg)


Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The core gut microbiota in adulthood is relatively stable, but environmental factors have been identified that can shape the gut microbial community (23,35,36).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [35]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M., & Kumar, S. (2011) · Molecular Biology and Evolution · doi:10.1093/molbev/msr121 · Cited by 40,207
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Linking long-term dietary patterns with gut microbial enterotypes
Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y.-Y., Keilbaugh, S. A., Bewtra, M., Knights, D., Walters, W. A., Knight, R., et al. (2011) · Science · doi:10.1126/science.1208344 · Cited by 6,513
Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease
Wang, Z., Klipfell, E., Bennett, B. J., Koeth, R., Levison, B. S., DuGar, B., Feldstein, A. E., Britt, E. B., Fu, X., Chung, Y.-M., et al. (2011) · Nature · doi:10.1038/nature09922 · Cited by 5,597
Diversity, stability and resilience of the human gut microbiota
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
Cole, J. R., Wang, Q., Cardenas, E., Fish, J., Chai, B., Farris, R. J., Kulam-Syed-Mohideen, A. S., McGarrell, D. M., Marsh, T. L., Garrity, G. M., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn879 · Cited by 4,873
Cited by
Sorted by citations
Gut biogeography of the bacterial microbiota
Donaldson, G. P., Lee, S. M., & Mazmanian, S. K. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro3552 · Cited by 2,535
How informative is the mouse for human gut microbiota research?
Nguyen, T. L. A., Vieira-Silva, S., Liston, A., & Raes, J. (2015) · Disease Models & Mechanisms · doi:10.1242/dmm.017400 · Cited by 1,334
“Some xenobiotics, such as antibiotics, can also strongly affect the gut microbiota composition and function (Maurice et al., 2013).”
BackgroundPerez-Muñoz, M. E., Arrieta, M.-C., Ramer-Tait, A. E., & Walter, J. (2017) · Microbiome · doi:10.1186/s40168-017-0268-4 · Cited by 1,096
Self-citationFassarella, M., Blaak, E. E., Penders, J., Nauta, A., Smidt, H., & Zoetendal, E. G. (2020) · Gut · doi:10.1136/gutjnl-2020-321747 · Cited by 818
Defining and quantifying the core microbiome: Challenges and prospects
Neu, A. T., Allen, E. E., & Roy, K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2104429118 · Cited by 653
Martínez, I., Stegen, J. C., Maldonado-Gómez, M. X., Eren, A. M., Siba, P. M., Greenhill, A. R., & Walter, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.03.049 · Cited by 576
Self-citationDeehan, E. C., Yang, C., Pérez-Muñoz, M. E., Nguyen, N. K., Cheng, C. C., Triador, L., Zhang, Z., Bakal, J. A., & Walter, J. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.01.006 · Cited by 564
Self-citationDiet shapes the gut microbiome of pigs during nursing and weaning
Frese, S. A., Parker, K., Calvert, C. C., & Mills, D. A. (2015) · Microbiome · doi:10.1186/s40168-015-0091-8 · Cited by 545
Maldonado-Gómez, M. X., Martínez, I., Bottacini, F., O’Callaghan, A., Ventura, M., van Sinderen, D., Hillmann, B., Vangay, P., Knights, D., Hutkins, R. W., et al. (2016) · Cell Host & Microbe · doi:10.1016/j.chom.2016.09.001 · Cited by 517
Self-citationDiet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health
Berding, K., Vlckova, K., Marx, W., Schellekens, H., Stanton, C., Clarke, G., Jacka, F., Dinan, T. G., & Cryan, J. F. (2021) · Advances in Nutrition · doi:10.1093/advances/nmaa181 · Cited by 451
Rhea: a transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons
Lagkouvardos, I., Fischer, S. E., Kumar, N., & Clavel, T. (2017) · PeerJ · doi:10.7717/peerj.2836 · Cited by 441
The avian gut microbiota: community, physiology and function in wild birds
Grond, K., Sandercock, B. K., Jumpponen, A., & Zeglin, L. H. (2018) · Journal of Avian Biology · doi:10.1111/jav.01788 · Cited by 405
Hooks, K. B., & O’Malley, M. A. (2017) · mBio · doi:10.1128/mbio.01492-17 · Cited by 404
Heterogeneity of the gut microbiome in mice: guidelines for optimizing experimental design
Laukens, D., Brinkman, B. M. N., Raes, J., Vos, M. D., & Vandenabeele, P. (2015) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuv036 · Cited by 402
Applying the core microbiome to understand host–microbe systems
Risely, A. (2020) · Journal of Animal Ecology · doi:10.1111/1365-2656.13229 · Cited by 393
McBurney, M. I., Davis, C. D., Fraser, C. M., Schneeman, B. O., Huttenhower, C., Verbeke, K., Walter, J., & Latulippe, M. E. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz154 · Cited by 296
Self-citationSimon, M.-C., Strassburger, K., Nowotny, B., Kolb, H., Nowotny, P., Burkart, V., Zivehe, F., Hwang, J.-H., Stehle, P., Pacini, G., et al. (2015) · Diabetes Care · doi:10.2337/dc14-2690 · Cited by 253
Self-citationThe Health Advantage of a Vegan Diet: Exploring the Gut Microbiota Connection
Glick-Bauer, M., & Yeh, M.-C. (2014) · Nutrients · doi:10.3390/nu6114822 · Cited by 235
Vandeputte, D., Commer, L. D., Tito, R. Y., Kathagen, G., Sabino, J., Vermeire, S., Faust, K., & Raes, J. (2021) · Nature Communications · doi:10.1038/s41467-021-27098-7 · Cited by 222
Metabolomic and microbiome profiling reveals personalized risk factors for coronary artery disease
Talmor‐Barkan, Y., Bar, N., Shaul, A. A., Shahaf, N., Godneva, A., Bussi, Y., Lotan‐Pompan, M., Weinberger, A., Shechter, A., Chezar‐Azerrad, C., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01686-6 · Cited by 231
Zhu, L., Sha, L., Li, K., Wang, Z., Wang, T., Li, Y., Liu, P., Dong, X., Dong, Y., Zhang, X., et al. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-019-1167-4 · Cited by 219
Tools for Analysis of the Microbiome
Galloway-Peña, J., & Hanson, B. (2020) · Digestive Diseases and Sciences · doi:10.1007/s10620-020-06091-y · Cited by 234
Martínez, I., Maldonado-Gomez, M. X., Gomes-Neto, J. C., Kittana, H., Ding, H., Schmaltz, R., Joglekar, P., Cardona, R. J., Marsteller, N. L., Kembel, S. W., et al. (2018) · eLife · doi:10.7554/elife.36521 · Cited by 199
Self-citationRoager, H. M., Licht, T. R., Poulsen, S. K., Larsen, T. M., & Bahl, M. I. (2014) · Applied and Environmental Microbiology · doi:10.1128/aem.03549-13 · Cited by 194
The intestinal microbiota in inflammatory bowel disease
Becker, C., Neurath, M. F., & Wirtz, S. (2015) · ILAR Journal · doi:10.1093/ilar/ilv030 · Cited by 185
Temporal and technical variability of human gut metagenomes
Voigt, A. Y., Costea, P. I., Kultima, J. R., Li, S. S., Zeller, G., Sunagawa, S., & Bork, P. (2015) · Genome biology · doi:10.1186/s13059-015-0639-8 · Cited by 182
Intestinal microbial communities associated with acute enteric infections and disease recovery
Singh, P., Teal, T. K., Marsh, T. L., Tiedje, J. M., Mosci, R. E., Jernigan, K. A., Zell, A., Newton, D. W., Salimnia, H., Lephart, P., et al. (2015) · Microbiome · doi:10.1186/s40168-015-0109-2 · Cited by 177
Seto, C. T., Jeraldo, P., Orenstein, R., Chia, N., & DiBaise, J. K. (2014) · Microbiome · doi:10.1186/2049-2618-2-42 · Cited by 163
Hisada, T., Endoh, K., & Kuriki, K. (2015) · Archives of Microbiology · doi:10.1007/s00203-015-1125-0 · Cited by 169
Wei, X., Yan, X., Zou, D., Yang, Z., Wang, X., Liu, W., Wang, S., Li, X., Han, J., Huang, L., et al. (2013) · BMC Gastroenterology · doi:10.1186/1471-230x-13-175 · Cited by 160
Molecular Characterization of Host-Specific Biofilm Formation in a Vertebrate Gut Symbiont
Frese, S. A., MacKenzie, D. A., Peterson, D. A., Schmaltz, R. J., Fangman, T., Zhou, Y., Zhang, C. H., Benson, A. K., Cody, L. A., Mulholland, F., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1004057 · Cited by 156
Self-citationChallenges of metabolomics in human gut microbiota research
Smirnov, K. S., Maier, T. V., Walker, A., Heinzmann, S. S., Forcisi, S., Martínez, I., Walter, J., & Schmitt‐Kopplin, P. (2016) · International Journal of Medical Microbiology · doi:10.1016/j.ijmm.2016.03.006 · Cited by 163
Self-citationInfant microbes and metabolites point to childhood neurodevelopmental disorders
Ahrens, A. P., Hyötyläinen, T., Petrone, J. R., Igelström, K. M., George, C. D., Garrett, T. J., Orešič, M., Triplett, E. W., & Ludvigsson, J. (2024) · Cell · doi:10.1016/j.cell.2024.02.035 · Cited by 155
Arshad, M. A., Hassan, F., Rehman, M. S.-U., Huws, S., Cheng, Y., & Din, A. U. (2021) · Animal nutrition · doi:10.1016/j.aninu.2021.03.004 · Cited by 151
Host/microbiota interactions in health and diseases—Time for mucosal microbiology!
Daniel, N., Lécuyer, E., & Chassaing, B. (2021) · Mucosal Immunology · doi:10.1038/s41385-021-00383-w · Cited by 151
The Gut Microbiome and Multiple SclerosisPreprint
Ochoa‐Repáraz, J., Kirby, T. O., & Kasper, L. H. (2018) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a029017 · Cited by 143
Genomic diversity and distribution of Bifidobacterium longum subsp. longum across the human lifespan
Odamaki, T., Bottacini, F., Kato, K., Mitsuyama, E., Yoshida, K., Horigome, A., Xiao, J., & van Sinderen, D. (2018) · Scientific Reports · doi:10.1038/s41598-017-18391-x · Cited by 135
Rethinking gut microbiome residency and the Enterobacteriaceae in healthy human adults
Martinson, J. N. V., Pinkham, N. V., Peters, G. W., Cho, H., Heng, J., Rauch, M., Broadaway, S. C., & Walk, S. T. (2019) · The ISME Journal · doi:10.1038/s41396-019-0435-7 · Cited by 130
Synthetic microbial communities (SynComs) of the human gut: design, assembly, and applications
van Leeuwen, P. T., Brul, S., Zhang, J., & Wortel, M. T. (2023) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuad012 · Cited by 132
Gall, A., Fero, J., McCoy, C. O., Claywell, B. C., Sanchez, C. A., Blount, P. L., Li, X., Vaughan, T. L., Matsen, F. A., IV, Reid, B. J., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129055 · Cited by 124
Lagkouvardos, I., Kläring, K., Heinzmann, S. S., Platz, S., Scholz, B., Engel, K., Schmitt‐Kopplin, P., Haller, D., Rohn, S., Skurk, T., et al. (2015) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201500125 · Cited by 127
Mongolians core gut microbiota and its correlation with seasonal dietary changes
Zhang, J., Guo, Z., Lim, A. A. Q., Zheng, Y., Koh, E. Y., Ho, D., Qiao, J., Huo, D., Hou, Q., Huang, W., et al. (2014) · Scientific Reports · doi:10.1038/srep05001 · Cited by 129
Diet, Microbiota, Obesity, and NAFLD: A Dangerous Quartet
Machado, M. V., & Cortez‐Pinto, H. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17040481 · Cited by 129
Species-Level Analysis of Human Gut Microbiota With Metataxonomics
Yang, H. J., Pu, J., Lu, S., Bai, X., Wu, Y., Jin, D., Cheng, Y., Zhang, G., Zhu, W., Luo, X., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.02029 · Cited by 128
The power of small changes: Comprehensive analyses of microbial dysbiosis in breast cancer
Parida, S., & Sharma, D. (2019) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2019.04.001 · Cited by 126
Group Living and Male Dispersal Predict the Core Gut Microbiome in Wild Baboons
Grieneisen, L., Livermore, J. A., Alberts, S. C., Tung, J., & Archie, E. A. (2017) · Integrative and Comparative Biology · doi:10.1093/icb/icx046 · Cited by 117
Association of the gut microbiota with cognitive function in midlife
Meyer, K., Lulla, A., Debroy, K., Shikany, J. M., Yaffe, K., Meirelles, O., & Launer, L. J. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.43941 · Cited by 110
Phylogenetic and Metabolic Tracking of Gut Microbiota during Perinatal Development
CHIERICO, F. D., Vernocchi, P., Petrucca, A., Paci, P., Fuentes, S., Praticò, G., Capuani, G., Masotti, A., Reddel, S., Russo, A., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137347 · Cited by 114
Experimental Evaluation of Host Adaptation of Lactobacillus reuteri to Different Vertebrate Species
Duar, R. M., Frese, S. A., Lin, X. B., Fernando, S. C., Burkey, T. E., Tasseva, G., Peterson, D. A., Blom, J., Wenzel, C. Q., Szymanski, C. M., et al. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.00132-17 · Cited by 104
Self-citationExpansion of Microbial Forensics
Schmedes, S. E., Sajantila, A., & Budowle, B. (2016) · Journal of Clinical Microbiology · doi:10.1128/jcm.00046-16 · Cited by 101
Olvera-Rosales, L. B., Cruz-Guerrero, A. E., Ramírez‐Moreno, E., Lira, A. Q., Contreras‐López, E., Ordaz, J. J., Ovando, A. C., Añorve‐Morga, J., Calderón‐Ramos, Z. G., Arias‐Rico, J., et al. (2021) · Foods · doi:10.3390/foods10061261 · Cited by 108
BioMiCo: a supervised Bayesian model for inference of microbial community structure
Shafiei, M., Dunn, K. A., Boon, E., MacDonald, S. M., Walsh, D. A., Gu, H., & Bielawski, J. P. (2015) · Microbiome · doi:10.1186/s40168-015-0073-x · Cited by 97
Immune dysregulation in the functional gastrointestinal disorders
Keely, S., Walker, M. M., Marks, E., & Talley, N. J. (2015) · European Journal of Clinical Investigation · doi:10.1111/eci.12548 · Cited by 96
Ren, T., Grieneisen, L., Alberts, S. C., Archie, E. A., & Wu, M. (2015) · Environmental Microbiology · doi:10.1111/1462-2920.12852 · Cited by 97
Berer, K., Martínez, I., Walker, A., Kunkel, B., Schmitt‐Kopplin, P., Walter, J., & Krishnamoorthy, G. (2018) · Scientific Reports · doi:10.1038/s41598-018-28839-3 · Cited by 90
Self-citationThe Hibernator Microbiome: Host-Bacterial Interactions in an Extreme Nutritional Symbiosis
Carey, H. V., & Assadi‐Porter, F. M. (2017) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071816-064740 · Cited by 92
(2015) · PubMed · Cited by 86
Wan, X., Li, T.-T., Zhong, R.-T., Chen, H., Xia, X., Gao, L., Gao, X., Liu, B., Zhang, H., & Zhao, C. (2019) · Food and Chemical Toxicology · doi:10.1016/j.fct.2019.04.017 · Cited by 92
Lavefve, L., Marasini, D., & Carbonero, F. G. (2018) · Advances in food and nutrition research · doi:10.1016/bs.afnr.2018.09.001 · Cited by 88
Changes in human gut microbiota influenced by probiotic fermented milk ingestion
Unno, T., Choi, J.-H., Hur, H.-G., Sadowsky, M. J., Ahn, Y., Huh, C., Kim, G.-B., & Cha, C. (2015) · Journal of Dairy Science · doi:10.3168/jds.2014-8943 · Cited by 78
The Yin and Yang of Bacterial Resilience in the Human Gut Microbiota
Gibson, M. K., Pesesky, M. W., & Dantas, G. (2014) · Journal of Molecular Biology · doi:10.1016/j.jmb.2014.05.029 · Cited by 71
Influences on allergic mechanisms through gut, lung, and skin microbiome exposures
Kemter, A. M., & Nagler‐Anderson, C. (2019) · Journal of Clinical Investigation · doi:10.1172/jci124610 · Cited by 79
Zimmermann, J., Hübschmann, T., Schattenberg, F., Schumann, J., Durek, P., Riedel, R., Friedrich, M., Glauben, R., Siegmund, B., Radbruch, A., et al. (2016) · European Journal of Immunology · doi:10.1002/eji.201646297 · Cited by 69
Mai, T., Fatheree, N. Y., Gleason, W. A., Liu, Y., & Rhoads, J. M. (2018) · Gastroenterology Clinics of North America · doi:10.1016/j.gtc.2018.07.008 · Cited by 67
Zhang, J., Wang, L., Guo, Z., Sun, Z., Gesudu, Q., Kwok, L., Menghebilige, & Zhang, H. (2014) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12328 · Cited by 64
Willis, K. A., Purvis, J. H., Myers, E. D., Aziz, M. M., Karabayir, İ., Gomes, C., Peters, B. M., Akbilgiç, O., Talati, A. J., & Pierre, J. F. (2019) · The FASEB Journal · doi:10.1096/fj.201901436rr · Cited by 61
Berding, K., Holscher, H. D., Arthur, A. E., & Donovan, S. M. (2018) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2018.01.002 · Cited by 61
Age-related changes in the gut microbiota and the core gut microbiome of healthy Thai humans
La-ongkham, O., Nakphaichit, M., Nakayama, J., Keawsompong, S., & Nitisinprasert, S. (2020) · 3 Biotech · doi:10.1007/s13205-020-02265-7 · Cited by 61
Composition and stability of intestinal microbiota of healthy children within a Dutch population
de Meij, T. G. J., Budding, A. E., de Groot, E. F. J., Jansen, F. M., Kneepkens, C. M. F., Benninga, M. A., Penders, J., Bodegraven, A. A. V., & Savelkoul, P. H. M. (2015) · The FASEB Journal · doi:10.1096/fj.15-278622 · Cited by 63
Diagnosis and treatment of diarrhea-predominant irritable bowel syndrome
Lacy, B. E. (2016) · International Journal of General Medicine · doi:10.2147/ijgm.s93698 · Cited by 59
Analysis of Microbial Communities: An Emerging Tool in Forensic Sciences
Gouello, A., Dunyach‐Remy, C., Siatka, C., & Lavigne, J. (2021) · Diagnostics · doi:10.3390/diagnostics12010001 · Cited by 65
Shanahan, E. R., McMaster, J. J., & Staudacher, H. M. (2021) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12868 · Cited by 61
Role of the duodenal microbiota in functional dyspepsia
Brown, G., Hoedt, E. C., Keely, S., Shah, A., Walker, M. M., Holtmann, G., & Talley, N. J. (2022) · Neurogastroenterology & Motility · doi:10.1111/nmo.14372 · Cited by 58
Bekiares, N., Krueger, C. G., Meudt, J. J., Shanmuganayagam, D., & Reed, J. D. (2017) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2016.0167 · Cited by 53
Gut ecosystem: how microbes help us
Martín, R., Miquel, S., Ulmer, J., Langella, P., & Bermúdez‐Humarán, L. G. (2014) · Beneficial Microbes · doi:10.3920/bm2013.0057 · Cited by 53
Cho, G., Ritzmann, F., Eckstein, M., Huch, M., Briviba, K., Behsnilian, D., Neve, H., & Franz, C. M. A. P. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00658 · Cited by 51
Dynamics of tongue microbial communities with single-nucleotide resolution using oligotyping
Welch, J. L. M., Utter, D. R., Rossetti, B. J., Welch, D. B. M., Eren, A. M., & Borisy, G. G. (2014) · Frontiers in Microbiology · doi:10.3389/fmicb.2014.00568 · Cited by 47
How Food Affects Colonization Resistance Against Enteropathogenic Bacteria
Kreuzer, M., & Hardt, W. (2020) · Annual Review of Microbiology · doi:10.1146/annurev-micro-020420-013457 · Cited by 45
Gut microbiota and inflammatory bowel disease: the role of antibiotics in disease management
Kerman, D. H., & Deshpande, A. R. (2014) · Postgraduate Medicine · doi:10.3810/pgm.2014.07.2779 · Cited by 47
Toh, M. C. W., & Allen‐Vercoe, E. (2015) · Microbial Ecology in Health and Disease · doi:10.3402/mehd.v26.26309 · Cited by 51
San-Juan-Vergara, H. G., Zurek, E. E., Ajami, N. J., Mogollon, C., Freile, M. P., Portnoy, I., Velez, J. I., Cadena-Cruz, C., Díaz-Olmos, Y., Hurtado-Gómez, L., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-22629-7 · Cited by 47
Risely, A., Gillingham, M. A. F., Béchet, A., Brändel, S. D., Heni, A. C., Heurich, M., Menke, S., Manser, M. B., Tschapka, M., Wasimuddin, et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.659918 · Cited by 44
Berding, K., & Donovan, S. M. (2020) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00193 · Cited by 45
Khanna, S., & Pardi, D. S. (2016) · Expert Review of Gastroenterology & Hepatology · doi:10.1586/17474124.2016.1158097 · Cited by 41
Roles of the Cell Surface Architecture of Bacteroides and Bifidobacterium in the Gut Colonization
Nishiyama, K., Yokoi, T., Sugiyama, M., Osawa, R., Mukai, T., & Okada, N. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.754819 · Cited by 41
Huang, H., Liu, C., Sun, X., Wei, R., Liu, L., Chen, H.-Y., Abdugheni, R., Wang, C., Wang, X., Jiang, H., et al. (2024) · iMeta · doi:10.1002/imt2.242 · Cited by 39
Dougal, K., Harris, P. A., Girdwood, S. E., Creevey, C. J., Curtis, G. C., Barfoot, C. F., Argo, C. M., & Newbold, C. J. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01502 · Cited by 36
Zeamer, A. L., Salive, M.-C., An, X., Beaudoin, F. L., House, S. L., Stevens, J. S., Zeng, D., Neylan, T. C., Clifford, G. D., Linnstaedt, S. D., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02643-8 · Cited by 34
Simulation study and comparative evaluation of viral contiguous sequence identification tools
Glickman, C. M., Hendrix, J., & Strong, M. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04242-0 · Cited by 33
Aircraft surveys for air eDNA: probing biodiversity in the sky
Métris, K. L. K., & Métris, J. (2023) · PeerJ · doi:10.7717/peerj.15171 · Cited by 32
Xian, F., Brenek, M., Krisp, C., Urbauer, E., Kumar, R. R., Aguanno, D., Srikumar, T., Liu, Q., Barry, A. M., Ma, B., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61977-7 · Cited by 35
Domingues, I., Gama, J. A., Carvalho, L., & Dionísio, F. (2017) · Heredity · doi:10.1038/hdy.2017.33 · Cited by 26
Yoon, H., Lee, D. H., Lee, J. H., Kwon, J., Shin, C. M., Yang, S., Park, S., Lee, J. H., Kang, S. W., Lee, J., et al. (2020) · Gut and Liver · doi:10.5009/gnl19354 · Cited by 27
Lewis, N., Villani, A., & Lagopoulos, J. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.01.031 · Cited by 25
Anti-diabetic effect of aloin via JNK-IRS1/PI3K pathways and regulation of gut microbiota
Zhong, R., Chen, L., Liu, Y., Xie, S., Li, S., Liu, B., & Zhao, C. (2021) · Food Science and Human Wellness · doi:10.1016/j.fshw.2021.07.019 · Cited by 25
Mokrani, M., Charradi, K., Limam, F., Aouani, E., & Urdaci, M. C. (2022) · Gut Pathogens · doi:10.1186/s13099-022-00505-0 · Cited by 24
Sun, J., Zeng, B., Chen, Z., Yan, S., Huang, W., Sun, B., Qian, H., Chen, X., Chen, T., Jiang, Q., et al. (2017) · Scientific Reports · doi:10.1038/srep41403 · Cited by 24
Liu, Z., Hu, Y., Tao, X., Li, J., Guo, X., Liu, G., Song, S., & Zhu, B. (2023) · Food Research International · doi:10.1016/j.foodres.2023.112633 · Cited by 26
Bosch, S., Wintjens, D., Wicaksono, A. N., Kuijvenhoven, J. P., van der Hulst, R. W. M., Stokkers, P. C. F., Daulton, E., Pierik, M. J., Covington, J. A., de Meij, T. G. J., et al. (2020) · Digestive and Liver Disease · doi:10.1016/j.dld.2020.03.007 · Cited by 22
Gong, H., Wang, B., Shi, Y., Shi, Y., Xiao, X., Cao, P., Tao, L., Wang, Y., & Zhou, L. F. (2017) · The Journal of Microbiology · doi:10.1007/s12275-017-6636-8 · Cited by 25
Metadata
- Authors
- Martínez, I., Muller, C. E., & Walter, J.
- Affiliations
- University of Nebraska–Lincoln (US)
- Corresponding author
- Walter, Jens
- ORCID
- Walter, Jens
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-07-16
- Volume
- 8
- Issue
- 7
- Pages
- e69621
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3712949
- OpenAlex
- W1997884922
- Cited by
- 181
- References
- 62
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 9 · 2023: 10 · 2022: 14 · 2021: 20 · 2020: 17 · 2019: 8 · 2018: 14 · 2017: 20 · 2016: 17 · 2015: 26 · 2014: 11 · 2013: 4
- FWCI
- 8.67
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Lincoln (University of Nebraska) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- human gut microbiome, fecal microbiota, temporal stability, core microbiome, operational taxonomic units, sequencing artifacts, rare OTUs, 16S rRNA, deterministic community assembly
- MeSH terms
- Adult, Bacteria, Feces, Female, Humans, RNA, Ribosomal, 16S, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review